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A project review under the focus of "complexities" on the example of exploreAT!
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Extensive collections of data of linguistic, historical and socio-cultural importance are stored in libraries, museums and national archives with enormous potential to support research. However, a sizable portion of the data remains underutilised because of a lack of the required knowledge to model the data semantically and convert it into a format suitable for the semantic web. Although many institutions have produced digital versions of their collection, semantic enrichment, interlinking and exploration are still missing from digitised versions. In this paper, we present a model that provides structure and semantics to a non-standard linguistic and historical data collection on the example of the Bavarian dialects in Austria at the Austrian Academy of Sciences. We followed a semantic modelling approach that utilises the knowledge of domain experts and the corresponding schema produced during the data collection process. The model is used to enrich, interlink and publish the collection semantically. The dataset includes questionnaires and answers as well as supplementary information about the circumstances of the data collection (person, location, time, etc.). The semantic uplift is demonstrated by converting a subset of the collection to a Linked Open Data (LOD) format, where domain experts evaluated the model and the resulting dataset for its support of user queries.
The world's indigenous languages and related cultural knowledge are under considerable threat of diminishing given the increasing expansion of the use of standard languages, particularly through the wide-ranging pervasion of digital media and machine readable editions of electronic resources. There is thus a pressing need to preserve and breathe life into traditional data resources containing both valuable linguistic and cultural knowledge. In this paper we demonstrate on the example of an Austrian non-standard language resource (DBÖ/dbo@ema), how the combined application of semantic modelling of cultural concepts and visual exploration tools are key in unlocking the indigenous knowledge system, traditional world views and valuable cultural content contained within this rich resource. The original data collection questionnaires serve as a pilot case study and initial access point to the entire collection. Set within a Digital Humanities context, the collaborative methodological approach described here acts as a demonstrator for opening up traditional/non-standard language resources for cultural content exploration through computing, ultimately giving access to, re-circulating and preserving otherwise lost immaterial cultural heritage.
Around the world, there is a wide range of traditional data manually collected for different scientific purposes. A small portion of this data has been digitised, but much of it remains less usable due to a lack of rich semantic models to enable humans and machines to understand, interpret and use these data. This paper presents ongoing work to build a semantic model to enrich and publish traditional data collection questionnaires in particular, and the historical data collection of the Bavarian Dialects in Austria in general. The use of cultural and linguistic concepts identified in the questionnaire questions allow for cultural exploration of the non-standard data (answers) of the collection. The approach focuses on capturing the semantics of the questionnaires dataset using domain analysis and schema analysis. This involves analysing the overall data collection process (domain analysis) and analysing the various schema used at different stages (schema analysis). By starting with modelling the data collection method, the focus is placed on the questionnaires as a gateway to understanding, interlinking and publishing the datasets. A model that describes the semantic structure of the main entities such as questionnaires, questions, answers and their relationships is presented.
Shedding Light on Indigenous Knowledge Concepts and World Perception through Visual Analysis
- A Benito
- A Dorn
- R Theron
- E Wandl-Vogt
- A Losada
Benito, A., Dorn, A., Theron, R., Wandl-Vogt, E. & Losada, A. (2018) "Shedding Light on Indigenous Knowledge Concepts and World Perception through Visual Analysis,"
Proceedings of DH2018, Mexico, Mexico City. Abstractband.
A spatio-temporal visual analysis tool for historical dictionaries
- A Benito
- G Losada
- A Therón
- R Dorn
- A Seltmann
- M Wandl-Vogt
Benito, A., Losada, G, A., Therón, R., Dorn, A., Seltmann, M. & Wandl-Vogt, E. (2016) "A spatio-temporal visual analysis tool for historical dictionaries." Proceedings of
the Fourth International Conference on Technological Ecosystems for Enhancing Multiculturality (TEEM). ACM. pp. 985-990. doi:10.1145/3012430.3012636
Food cultures: co-creation and evaluation of a thesaurus as a cultural infrastructure
- T Palfinger
- J L Preza Diaz
- Y Abgaz
- A Schatek
- R Zoubek
- A Dorn
- E Wandl-Vogt
Palfinger, T., Preza Diaz, J.L., Abgaz, Y., Schatek, A., Zoubek, R., Dorn, A. & Wandl-Vogt, E. (2018) Food cultures: co-creation and evaluation of a thesaurus as a
cultural infrastructure. DH_Budapest 2018, Centre for Digital Humanities, Eötvös Lórand University, Budapest, Hungary, Abstractband, p. 36.
Wie man ein Jahrhundertprojekt zeitgemäß hält: Datenbankgestützte Dialektlexikographie am Institut für Österreichische Dialekt-und Namenlexika (I Dinamlex) (mit 10 Abbildungen)
- E Wandl-Vogt
Wandl-Vogt, E. (2008): Wie man ein Jahrhundertprojekt zeitgemäß hält: Datenbankgestützte Dialektlexikographie am Institut für Österreichische Dialekt-und
Namenlexika (I Dinamlex) (mit 10 Abbildungen). In: Ernst, Peter (Eds.): Bausteine zur Wissenschaftsgeschichte von Dialektologie/ germanistischer Sprachwissenschaft
im 19. und 20. Jahrhundert. Beiträge zum 2. Kongress der internationalen Gesellschaft für Dialektologie des Deutschen, Wien, 20.-23. September 2006. Wien. pp. 93-112.